Instructions to use nhungphammmmm/d7e68e46-f848-44c2-b496-183927823ce3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/d7e68e46-f848-44c2-b496-183927823ce3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-70m-deduped") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/d7e68e46-f848-44c2-b496-183927823ce3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92d9857a78d834011d908e0ae0104f242491ef22b1ac4640223400a77d18e60b
- Size of remote file:
- 6.78 kB
- SHA256:
- db9ee5000e4f301e57eedcaf559eb0f77f1246df2da48b3971fce070b523f3f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.